A two-level optimization based learning control strategy for wet clutches. - Bruno Depraetere; Gregory Pinte; Lieboud Van den Broeck; Jan Swevers (ALCOSP, 2010)

Iterative optimization of the filling phase of wet clutches. - Bruno Depraetere; Gregory Pinte; Jan Swevers (AMC, 2010)

A reference free iterative learning strategy for wet clutch control. - Bruno Depraetere; Gregory Pinte; Jan Swevers (ACC, 2011)

Identification of linear systems using output measurements with only two possible values. - Bruno Depraetere; Gregory Pinte; Jan Swevers (CDC/ECC, 2011)

Model-free and model-based time-optimal control of a badminton robot. - M. Liu; Bruno Depraetere; Gregory Pinte; Ivo Grondman; Robert Babuska (ASCC, 2013)

A Policy Gradient with Parameter-Based Exploration Approach for Zone-Heating. - Kevin Van Vaerenbergh; Yann-Michaël De Hauwere; Bruno Depraetere; Kristof Van Moffaert; Ann Nowé (SSCI, 2015)

A fast pick-and-place prototype robot: design and control. - Catalin-Stefan Teodorescu; Steve Vandenplas; Bruno Depraetere; Jan Anthonis; Armin Steinhauser; Jan Swevers (CCA, 2016)

Learning Control in Practice: Novel Paradigms for Industrial Applications. - Jeroen Willems; Erik Hostens; Bruno Depraetere; Armin Steinhauser; Jan Swevers (CCTA, 2018)

An Input- Mapping Initialization Approach to Accelerate Iterative Learning of Similar Tasks. - Jeroen Willems; Erik Hostens; Bruno Depraetere; Daniele Ronzani; Armin Steinhauser; Jan Swevers (ICM, 2019)

A General Multi-System Learning Control Framework and its Application to Non-Synchronized Experiments. - Jeroen Willems; Bruno Depraetere; Sorin Bengea (CCTA, 2022)

Fast Initialization of Control Parameters using Supervised Learning on Data from Similar Assets. - Jeroen Willems; Kerem Eryilmaz; Denis Steckelmacher; Bruno Depraetere; Rian Beck; Abdellatif Bey-Temsamani; Jan Helsen; Ann Nowé (CCTA, 2022)

Optimal Motion Control using Neural Networks Applied to a Slider-Crank Mechanism. - Edward Kikken; Jeroen Willems; Bruno Depraetere (CCTA, 2023)

Optimal and Charge-Sustainable Energy Management Systems for Industrial DC Grids. - Taranjitsingh Singh; Jeroen Willems; Bruno Depraetere; Glenn Emmers; Thomas Vandenhove; Jeroen Stuyts (CoDIT, 2023)

A Clustering-Based Approach for Adaptive Control Applied to a Hybrid Electric Vehicle. - Rian Beck; Sudarsan Kumar Venkatesan; Joram Meskens; Jeroen Willems; Edward Kikken; Bruno Depraetere (ICINCO (1), 2023)

Towards Wait-and-Catch Routine of a Dynamic Swinging Object Using a Prototype Robotic Arm Manipulator. - Catalin-Stefan Teodorescu; Steve Vandenplas; Bruno Depraetere (TAROS, 2023)

Transferring Multiple Policies to Hotstart Reinforcement Learning in an Air Compressor Management Problem. - Hélène Plisnier; Denis Steckelmacher; Jeroen Willems; Bruno Depraetere; Ann Nowé (CoRR, 2023)

Enhancing PI Tuning in Plant Commissioning through Bayesian Optimization. - Boulaid Boulkroune; Xavier Jordens; Branimir Mrak; Joachim Verhelst; Bruno Depraetere; Joram Meskens; Pieter Bovijn (ECC, 2024)